Overview

Brought to you by YData

Dataset statistics

Number of variables	23
Number of observations	3678
Missing cells	5667
Missing cells (%)	6.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	620.0 B

Variable types

Text	3
Categorical	10
Numeric	10

Alerts

`puja room` has constant value "0"	Constant
`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 3 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.7%)	Imbalance
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 1988 (54.1%) missing values	Missing
`carpet_area` has 1806 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73502026)	Skewed
`built_up_area` is highly skewed (γ1 = 40.70646407)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323909)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 462 (12.6%) zeros	Zeros

Reproduction

Analysis started	2025-06-30 06:26:12.453006
Analysis finished	2025-06-30 06:26:18.154400
Duration	5.7 seconds
Software version	ydata-profiling vv4.12.1
Download configuration	config.json

society
Text

Distinct	676
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	394.3 KiB

Length

Max length	49
Median length	39
Mean length	16.869459
Min length	1

Characters and Unicode

Total characters	62029
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	308 ?
Unique (%)	8.4%

Sample

1st row	paras dews
2nd row	railway officers rpf society
3rd row	umang winter hills
4th row	godrej nature plus
5th row	dlf the ultima

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.5%
heights	135	1.4%
Other values (783)	7498	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6711	10.8%
	6004	9.7%
a	5862	9.5%
r	4172	6.7%
n	4164	6.7%
i	3832	6.2%
t	3721	6.0%
s	3474	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18391	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55480	89.4%
Space Separator	6004	9.7%
Decimal Number	527	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6711	12.1%
a	5862	10.6%
r	4172	7.5%
n	4164	7.5%
i	3832	6.9%
t	3721	6.7%
s	3474	6.3%
l	2943	5.3%
o	2755	5.0%
d	2488	4.5%
Other values (16)	15358	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6004	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55480	89.4%
Common	6549	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6711	12.1%
a	5862	10.6%
r	4172	7.5%
n	4164	7.5%
i	3832	6.9%
t	3721	6.7%
s	3474	6.3%
l	2943	5.3%
o	2755	5.0%
d	2488	4.5%
Other values (16)	15358	27.7%

Common

Value	Count	Frequency (%)
	6004	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62029	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6711	10.8%
	6004	9.7%
a	5862	9.5%
r	4172	6.7%
n	4164	6.7%
i	3832	6.2%
t	3721	6.0%
s	3474	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18391	29.6%

property_type
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	349.0 KiB

flat	2819
house	859

Length

Max length	5
Median length	4
Mean length	4.2335508
Min length	4

Characters and Unicode

Total characters	15571
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2819	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15571	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15571	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15571	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2819	18.1%
l	2819	18.1%
a	2819	18.1%
t	2819	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

sector
Text

Distinct	116
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	368.3 KiB

Length

Max length	26
Median length	9
Mean length	9.60087
Min length	3

Characters and Unicode

Total characters	35312
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 106
2nd row	sector 9a
3rd row	sector 77
4th row	sector 33 road
5th row	sector 81

Value	Count	Frequency (%)
sector	3451	45.4%
road	385	5.1%
sohna	165	2.2%
85	108	1.4%
102	107	1.4%
92	100	1.3%
69	93	1.2%
90	89	1.2%
65	87	1.1%
81	87	1.1%
Other values (107)	2922	38.5%

Most occurring characters

Value	Count	Frequency (%)
o	4012	11.4%
	3916	11.1%
r	3902	11.1%
s	3694	10.5%
e	3549	10.1%
c	3502	9.9%
t	3462	9.8%
1	1074	3.0%
a	903	2.6%
0	802	2.3%
Other values (21)	6496	18.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24136	68.4%
Decimal Number	7260	20.6%
Space Separator	3916	11.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	4012	16.6%
r	3902	16.2%
s	3694	15.3%
e	3549	14.7%
c	3502	14.5%
t	3462	14.3%
a	903	3.7%
d	456	1.9%
n	228	0.9%
h	202	0.8%
Other values (10)	226	0.9%

Decimal Number

Value	Count	Frequency (%)
1	1074	14.8%
0	802	11.0%
8	779	10.7%
9	761	10.5%
6	739	10.2%
7	684	9.4%
2	680	9.4%
3	666	9.2%
5	592	8.2%
4	483	6.7%

Space Separator

Value	Count	Frequency (%)
	3916	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24136	68.4%
Common	11176	31.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	4012	16.6%
r	3902	16.2%
s	3694	15.3%
e	3549	14.7%
c	3502	14.5%
t	3462	14.3%
a	903	3.7%
d	456	1.9%
n	228	0.9%
h	202	0.8%
Other values (10)	226	0.9%

Common

Value	Count	Frequency (%)
	3916	35.0%
1	1074	9.6%
0	802	7.2%
8	779	7.0%
9	761	6.8%
6	739	6.6%
7	684	6.1%
2	680	6.1%
3	666	6.0%
5	592	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35312	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	4012	11.4%
	3916	11.1%
r	3902	11.1%
s	3694	10.5%
e	3549	10.1%
c	3502	9.9%
t	3462	9.8%
1	1074	3.0%
a	903	2.6%
0	802	2.3%
Other values (21)	6496	18.4%

price
Real number (ℝ)

High correlation

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.533204

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9803462
Coefficient of variation (CV)	1.1765125
Kurtosis	14.937194
Mean	2.533204
Median Absolute Deviation (MAD)	0.72
Skewness	3.2796031
Sum	9274.06
Variance	8.8824634
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
1.5	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.5%
0.95	52	1.4%
2	52	1.4%
1.6	48	1.3%
Other values (463)	3059	83.2%

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13890.391

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4716
Q1	6815
median	9020
Q3	13878
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063

Descriptive statistics

Standard deviation	23207.305
Coefficient of variation (CV)	1.6707453
Kurtosis	186.97094
Mean	13890.391
Median Absolute Deviation (MAD)	2795
Skewness	11.438429
Sum	50852722
Variance	5.3857902 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
6666	13	0.4%
22222	13	0.4%
11111	13	0.4%
8333	12	0.3%
7500	12	0.3%
6000	11	0.3%
Other values (2641)	3510	95.4%
(Missing)	17	0.5%

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	1312
Distinct (%)	35.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2887.9601

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	50
5-th percentile	519
Q1	1233
median	1733
Q3	2300
95-th percentile	4246
Maximum	875000
Range	874950
Interquartile range (IQR)	1067

Descriptive statistics

Standard deviation	23164.352
Coefficient of variation (CV)	8.0210082
Kurtosis	942.28701
Mean	2887.9601
Median Absolute Deviation (MAD)	533
Skewness	29.73502
Sum	10572822
Variance	5.3658719 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
3240	43	1.2%
1950	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3268	88.9%

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	528.6 KiB

Length

Max length	124
Median length	119
Mean length	54.231648
Min length	12

Characters and Unicode

Total characters	199464
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Super Built up area 1665(154.68 sq.m.)Built Up area: 1145 sq.ft. (106.37 sq.m.)Carpet area: 1034 sq.ft. (96.06 sq.m.)
2nd row	Carpet area: 1806 (167.78 sq.m.)
3rd row	Super Built up area 1342(124.68 sq.m.)
4th row	Super Built up area 1557(144.65 sq.m.)
5th row	Super Built up area 2132(198.07 sq.m.)Carpet area: 1650 sq.ft. (153.29 sq.m.)

Value	Count	Frequency (%)
area	5574	18.5%
sq.m	3656	12.1%
up	3021	10.0%
built	2317	7.7%
super	1876	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8701	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26469	13.3%
.	20392	10.2%
a	13156	6.6%
r	9458	4.7%
e	9322	4.7%
1	9207	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6773	3.4%
Other values (25)	82362	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82775	41.5%
Decimal Number	47144	23.6%
Space Separator	26469	13.3%
Other Punctuation	23409	11.7%
Uppercase Letter	8595	4.3%
Close Punctuation	5536	2.8%
Open Punctuation	5536	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13156	15.9%
r	9458	11.4%
e	9322	11.3%
s	7568	9.1%
q	7432	9.0%
t	7325	8.8%
u	6773	8.2%
p	6769	8.2%
m	5545	6.7%
l	3702	4.5%
Other values (5)	5725	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9207	19.5%
0	6629	14.1%
2	5690	12.1%
5	4716	10.0%
3	3961	8.4%
4	3712	7.9%
6	3674	7.8%
7	3254	6.9%
8	3157	6.7%
9	3144	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3021	35.1%
S	1876	21.8%
C	1872	21.8%
U	1145	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20392	87.1%
:	3017	12.9%

Space Separator

Value	Count	Frequency (%)
	26469	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5536	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5536	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108094	54.2%
Latin	91370	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13156	14.4%
r	9458	10.4%
e	9322	10.2%
s	7568	8.3%
q	7432	8.1%
t	7325	8.0%
u	6773	7.4%
p	6769	7.4%
m	5545	6.1%
l	3702	4.1%
Other values (10)	14320	15.7%

Common

Value	Count	Frequency (%)
	26469	24.5%
.	20392	18.9%
1	9207	8.5%
0	6629	6.1%
2	5690	5.3%
)	5536	5.1%
(	5536	5.1%
5	4716	4.4%
3	3961	3.7%
4	3712	3.4%
Other values (5)	16246	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199464	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26469	13.3%
.	20392	10.2%
a	13156	6.6%
r	9458	4.7%
e	9322	4.7%
1	9207	4.6%
s	7568	3.8%
q	7432	3.7%
t	7325	3.7%
u	6773	3.4%
Other values (25)	82362	41.3%

bedRoom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3597064

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8975034
Coefficient of variation (CV)	0.5647825
Kurtosis	18.215499
Mean	3.3597064
Median Absolute Deviation (MAD)	1
Skewness	3.4853698
Sum	12357
Variance	3.600519
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	943	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
7	28	0.8%
12	28	0.8%
Other values (9)	44	1.2%

Value	Count	Frequency (%)
1	124	3.4%
2	943	25.6%
3	1496	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4241436

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9479448
Coefficient of variation (CV)	0.56888526
Kurtosis	17.544566
Mean	3.4241436
Median Absolute Deviation (MAD)	1
Skewness	3.2490529
Sum	12594
Variance	3.794489
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1048	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Value	Count	Frequency (%)
1	156	4.2%
2	1048	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	338.5 KiB

3+	1172
3	1075
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3186514
Min length	1

Characters and Unicode

Total characters	4850
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	2
4th row	3+
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1075	29.2%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2247	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2247	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	75.8%
Math Symbol	1172	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2247	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4850	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2247	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2247	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

Zeros

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7991254

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0118654
Coefficient of variation (CV)	0.88421157
Kurtosis	4.515315
Mean	6.7991254
Median Absolute Deviation (MAD)	3
Skewness	1.6933376
Sum	24878
Variance	36.142525
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	351	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	180	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	937	25.5%

Value	Count	Frequency (%)
0	129	3.5%
1	351	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	353.4 KiB

NA	1045
East	623
North-East	623
North	387
West	249
Other values (4)	751

Length

Max length	10
Median length	5
Mean length	5.4643828
Min length	2

Characters and Unicode

Total characters	20098
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North-West
2nd row	NA
3rd row	NA
4th row	NA
5th row	South

Common Values

Value	Count	Frequency (%)
NA	1045	28.4%
East	623	16.9%
North-East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	194	5.3%
South-East	173	4.7%
South-West	153	4.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
na	1045	28.4%
east	623	16.9%
north-east	623	16.9%
north	387	10.5%
west	249	6.8%
south	231	6.3%
north-west	194	5.3%
south-east	173	4.7%
south-west	153	4.2%

Most occurring characters

Value	Count	Frequency (%)
t	3776	18.8%
N	2249	11.2%
s	2015	10.0%
o	1761	8.8%
h	1761	8.8%
E	1419	7.1%
a	1419	7.1%
r	1204	6.0%
-	1143	5.7%
A	1045	5.2%
Other values (4)	2306	11.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13089	65.1%
Uppercase Letter	5866	29.2%
Dash Punctuation	1143	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3776	28.8%
s	2015	15.4%
o	1761	13.5%
h	1761	13.5%
a	1419	10.8%
r	1204	9.2%
e	596	4.6%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
N	2249	38.3%
E	1419	24.2%
A	1045	17.8%
W	596	10.2%
S	557	9.5%

Dash Punctuation

Value	Count	Frequency (%)
-	1143	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18955	94.3%
Common	1143	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3776	19.9%
N	2249	11.9%
s	2015	10.6%
o	1761	9.3%
h	1761	9.3%
E	1419	7.5%
a	1419	7.5%
r	1204	6.4%
A	1045	5.5%
W	596	3.1%
Other values (3)	1710	9.0%

Common

Value	Count	Frequency (%)
-	1143	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20098	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3776	18.8%
N	2249	11.2%
s	2015	10.0%
o	1761	8.8%
h	1761	8.8%
E	1419	7.1%
a	1419	7.1%
r	1204	6.0%
-	1143	5.7%
A	1045	5.2%
Other values (4)	2306	11.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	381.8 KiB

Relatively New	1646
New Property	594
Moderately Old	563
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.385536
Min length	9

Characters and Unicode

Total characters	49232
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Relatively New
2nd row	Old Property
3rd row	New Property
4th row	New Property
5th row	Relatively New

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	594	16.2%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2240	31.8%
relatively	1646	23.3%
property	897	12.7%
old	866	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8433	17.1%
l	4721	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2307	4.7%
N	2240	4.5%
w	2240	4.5%
i	2218	4.5%
Other values (15)	14068	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38810	78.8%
Uppercase Letter	7050	14.3%
Space Separator	3372	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8433	21.7%
l	4721	12.2%
t	3638	9.4%
y	3106	8.0%
r	2889	7.4%
d	2307	5.9%
w	2240	5.8%
i	2218	5.7%
a	2209	5.7%
o	1992	5.1%
Other values (7)	5057	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2240	31.8%
R	1646	23.3%
P	897	12.7%
O	866	12.3%
U	572	8.1%
M	563	8.0%
C	266	3.8%

Space Separator

Value	Count	Frequency (%)
	3372	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45860	93.2%
Common	3372	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8433	18.4%
l	4721	10.3%
t	3638	7.9%
y	3106	6.8%
r	2889	6.3%
d	2307	5.0%
N	2240	4.9%
w	2240	4.9%
i	2218	4.8%
a	2209	4.8%
Other values (14)	11859	25.9%

Common

Value	Count	Frequency (%)
	3372	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49232	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8433	17.1%
l	4721	9.6%
t	3638	7.4%
	3372	6.8%
y	3106	6.3%
r	2889	5.9%
d	2307	4.7%
N	2240	4.5%
w	2240	4.5%
i	2218	4.5%
Other values (15)	14068	28.6%

super_built_up_area
Real number (ℝ)

High correlation Missing

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1924.931

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1478.75
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	736.25

Descriptive statistics

Standard deviation	764.0838
Coefficient of variation (CV)	0.39694088
Kurtosis	10.351351
Mean	1924.931
Median Absolute Deviation (MAD)	372
Skewness	1.8370902
Sum	3611170.6
Variance	583824.06
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
1900	19	0.5%
2408	19	0.5%
1350	18	0.5%
1930	18	0.5%
Other values (583)	1634	44.4%
(Missing)	1802	49.0%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	644
Distinct (%)	38.1%
Missing	1988
Missing (%)	54.1%
Infinite	0
Infinite (%)	0.0%
Mean	2379.666

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.45
Q1	1100
median	1650
Q3	2400
95-th percentile	4691
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17942.894
Coefficient of variation (CV)	7.5400894
Kurtosis	1667.8644
Mean	2379.666
Median Absolute Deviation (MAD)	650
Skewness	40.706464
Sum	4021635.5
Variance	3.2194746 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
2700	33	0.9%
1350	33	0.9%
900	28	0.8%
1600	26	0.7%
1300	24	0.7%
2000	24	0.7%
1700	23	0.6%
Other values (634)	1387	37.7%
(Missing)	1988	54.1%

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8115.9806	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	733
Distinct (%)	39.2%
Missing	1806
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1795

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147166
Kurtosis	604.53764
Mean	2529.1795
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	1.0%
1600	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1578	42.9%
(Missing)	1806	49.1%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	337.4 KiB

0	2972
1	706

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2972	80.8%
1	706	19.2%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	337.4 KiB

0	2350
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2350	63.9%
1	1328	36.1%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	337.4 KiB

0	3340
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3340	90.8%
1	338	9.2%

puja room
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	337.4 KiB

0	3678

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3678	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3678	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	3678	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3678	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3678	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3678	100.0%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	337.4 KiB

0	3272
1	406

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3272	89.0%
1	406	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3272	89.0%
1	406	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3272	89.0%
1	406	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3272	89.0%
1	406	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3272	89.0%
1	406	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3272	89.0%
1	406	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	337.4 KiB

0	2436
1	1039
2	203

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3678
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	2

Common Values

Value	Count	Frequency (%)
0	2436	66.2%
1	1039	28.2%
2	203	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2436	66.2%
1	1039	28.2%
2	203	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	2436	66.2%
1	1039	28.2%
2	203	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3678	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2436	66.2%
1	1039	28.2%
2	203	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3678	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2436	66.2%
1	1039	28.2%
2	203	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3678	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2436	66.2%
1	1039	28.2%
2	203	5.5%

luxury_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.5

Minimum	0
Maximum	174
Zeros	462
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	186.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.057651
Coefficient of variation (CV)	0.74206505
Kurtosis	-0.87992994
Mean	71.5
Median Absolute Deviation (MAD)	38
Skewness	0.45949394
Sum	262977
Variance	2815.1144
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	462	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
37	45	1.2%
42	45	1.2%
Other values (151)	2314	62.9%

Value	Count	Frequency (%)
0	462	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Interactions

Correlations

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	0.000	0.274	0.111	0.130	0.000	0.000	0.203	0.125	0.214	0.255	0.108	0.102	0.056	0.379	0.287	0.143	0.141	0.086
area	0.000	1.000	0.011	0.687	0.624	0.835	0.801	0.008	0.116	0.043	0.259	0.042	0.744	0.207	0.028	0.015	0.039	0.018	0.948
balcony	0.274	0.011	1.000	0.225	0.176	0.000	0.026	0.165	0.079	0.178	0.223	0.082	0.136	0.033	0.214	0.441	0.146	0.183	0.306
bathroom	0.111	0.687	0.225	1.000	0.862	0.464	0.599	0.077	-0.005	0.195	0.179	0.070	0.720	0.411	0.472	0.520	0.244	0.176	0.819
bedRoom	0.130	0.624	0.176	0.862	1.000	0.380	0.569	0.052	-0.104	0.167	0.057	0.079	0.681	0.417	0.595	0.317	0.223	0.154	0.800
built_up_area	0.000	0.835	0.000	0.464	0.380	1.000	0.969	0.000	0.091	0.090	0.289	0.000	0.605	0.132	0.000	0.000	0.000	0.000	0.926
carpet_area	0.000	0.801	0.026	0.599	0.569	0.969	1.000	0.021	0.159	0.000	0.239	0.016	0.613	0.136	0.000	0.000	0.000	0.003	0.894
facing	0.203	0.008	0.165	0.077	0.052	0.000	0.021	1.000	0.026	0.195	0.174	0.076	0.045	0.012	0.080	0.288	0.136	0.125	0.093
floorNum	0.125	0.116	0.079	-0.005	-0.104	0.091	0.159	0.026	1.000	0.026	0.232	0.033	0.001	-0.126	0.485	0.083	0.112	0.078	0.151
furnishing_type	0.214	0.043	0.178	0.195	0.167	0.090	0.000	0.195	0.026	1.000	0.238	0.063	0.175	0.022	0.085	0.267	0.156	0.137	0.132
luxury_score	0.255	0.259	0.223	0.179	0.057	0.289	0.239	0.174	0.232	0.238	1.000	0.176	0.215	0.055	0.328	0.347	0.228	0.182	0.222
others	0.108	0.042	0.082	0.070	0.079	0.000	0.016	0.076	0.033	0.063	0.176	1.000	0.034	0.036	0.025	0.000	0.106	0.033	0.085
price	0.102	0.744	0.136	0.720	0.681	0.605	0.613	0.045	0.001	0.175	0.215	0.034	1.000	0.744	0.543	0.369	0.303	0.244	0.773
price_per_sqft	0.056	0.207	0.033	0.411	0.417	0.132	0.136	0.012	-0.126	0.022	0.055	0.036	0.744	1.000	0.201	0.044	0.000	0.030	0.287
property_type	0.379	0.028	0.214	0.472	0.595	0.000	0.000	0.080	0.485	0.085	0.328	0.025	0.543	0.201	1.000	0.065	0.241	0.127	1.000
servant room	0.287	0.015	0.441	0.520	0.317	0.000	0.000	0.288	0.083	0.267	0.347	0.000	0.369	0.044	0.065	1.000	0.161	0.184	0.584
store room	0.143	0.039	0.146	0.244	0.223	0.000	0.000	0.136	0.112	0.156	0.228	0.106	0.303	0.000	0.241	0.161	1.000	0.226	0.046
study room	0.141	0.018	0.183	0.176	0.154	0.000	0.003	0.125	0.078	0.137	0.182	0.033	0.244	0.030	0.127	0.184	0.226	1.000	0.121
super_built_up_area	0.086	0.948	0.306	0.819	0.800	0.926	0.894	0.093	0.151	0.132	0.222	0.085	0.773	0.287	1.000	0.584	0.046	0.121	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	society	property_type	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	furnishing_type	luxury_score
0	paras dews	flat	sector 106	1.20	11605.0	1034.0	Super Built up area 1665(154.68 sq.m.)Built Up area: 1145 sq.ft. (106.37 sq.m.)Carpet area: 1034 sq.ft. (96.06 sq.m.)	3	3	3	12.0	North-West	Relatively New	1665.0	1145.0	1034.0	1	0	0	158
1	railway officers rpf society	flat	sector 9a	1.25	6921.0	1806.0	Carpet area: 1806 (167.78 sq.m.)	4	3	3	1.0	NA	Old Property	NaN	NaN	1806.0	0	1	0	40
2	umang winter hills	flat	sector 77	0.86	6408.0	1342.0	Super Built up area 1342(124.68 sq.m.)	2	2	2	16.0	NA	New Property	1342.0	NaN	NaN	0	0	1	79
3	godrej nature plus	flat	sector 33 road	1.35	8670.0	1557.0	Super Built up area 1557(144.65 sq.m.)	3	2	3+	17.0	NA	New Property	1557.0	NaN	NaN	0	0	0	38
4	dlf the ultima	flat	sector 81	2.21	10365.0	2132.0	Super Built up area 2132(198.07 sq.m.)Carpet area: 1650 sq.ft. (153.29 sq.m.)	3	3	3+	3.0	South	Relatively New	2132.0	NaN	1650.0	0	1	2	149
5	signature global park	flat	sohna road road	0.54	7248.0	745.0	Carpet area: 745 (69.21 sq.m.)	2	1	3	1.0	NA	New Property	NaN	NaN	745.0	0	0	0	65
6	tulip leaf	flat	sector 69	2.06	11386.0	1809.0	Super Built up area 1812(168.34 sq.m.)	3	3	3	16.0	South-West	Relatively New	1812.0	NaN	NaN	0	0	0	49
7	sare crescent parc	flat	sector 92	0.95	5013.0	1895.0	Built Up area: 1895 (176.05 sq.m.)Carpet area: 1500 sq.ft. (139.35 sq.m.)	4	5	3+	13.0	North	Undefined	NaN	1895.0	1500.0	0	0	0	0
8	godrej oasis	flat	sector 88a	1.40	7567.0	1850.0	Super Built up area 1850(171.87 sq.m.)	3	3	3+	4.0	East	Relatively New	1850.0	NaN	NaN	0	0	1	38
9	microtek greenburg	flat	sector 86	1.93	8446.0	2285.0	Super Built up area 2285(212.28 sq.m.)	3	4	3	12.0	East	Relatively New	2285.0	NaN	NaN	0	1	0	72

	society	property_type	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	furnishing_type	luxury_score
3792	conscient elevate	flat	sector 59	4.25	18518.0	2295.0	Super Built up area 2295(213.21 sq.m.)	3	4	3	3.0	NA	Under Construction	2295.0	NaN	NaN	0	0	0	0
3793	emaar the palm springs	house	sector 54	24.00	600000.0	400.0	Plot area 400(37.16 sq.m.)	5	5	2	1.0	North-East	Old Property	NaN	400.0	NaN	1	1	1	122
3794	bestech park view spa next	flat	sector 67	2.70	11489.0	2350.0	Super Built up area 2350(218.32 sq.m.)	4	4	3+	9.0	South-West	Moderately Old	2350.0	NaN	NaN	0	1	1	149
3795	unitech the residences	flat	sector 33	1.10	9909.0	1110.0	Super Built up area 1110(103.12 sq.m.)Built Up area: 1100 sq.ft. (102.19 sq.m.)Carpet area: 1000 sq.ft. (92.9 sq.m.)	2	2	3	9.0	East	Moderately Old	1110.0	1100.0	1000.0	0	0	1	44
3796	signature global park	flat	sohna road road	0.91	6289.0	1447.0	Carpet area: 1439 (133.69 sq.m.)	3	3	3	1.0	West	Relatively New	NaN	NaN	1439.0	0	0	0	165
3797	m3m woodshire	flat	sector 107	1.15	7496.0	1534.0	Super Built up area 1534(142.51 sq.m.)Carpet area: 1056 sq.ft. (98.11 sq.m.)	2	2	3	0.0	North-East	Relatively New	1534.0	NaN	1056.0	1	0	0	29
3798	signature global solera	flat	sector 107	0.36	6581.0	547.0	Carpet area: 547 (50.82 sq.m.)	2	2	2	8.0	South-East	Relatively New	NaN	NaN	547.0	0	0	0	45
3799	orris aster court premier	flat	sector 85	1.49	5820.0	2560.0	Super Built up area 2560(237.83 sq.m.)Built Up area: 2017 sq.ft. (187.39 sq.m.)Carpet area: 1890 sq.ft. (175.59 sq.m.)	4	5	3+	10.0	East	Relatively New	2560.0	2017.0	1890.0	0	1	1	84
3800	godrej icon	flat	sector 88a	1.31	8100.0	1617.0	Super Built up area 1617(150.22 sq.m.)	2	2	3+	3.0	North-West	Relatively New	1617.0	NaN	NaN	1	0	0	102
3801	independent	house	sector 7	1.35	40909.0	330.0	Built Up area: 330 (30.66 sq.m.)	4	5	0	3.0	NA	Undefined	NaN	330.0	NaN	0	0	0	0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category